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Mammographic detection of breast cancer in a non-screening country.

Delgermaa Demchig,C. Mello-Thoms,Warwick B. Lee,Khulan Khurelsukh,Asai Ramish,P. Brennan

Published 2018 in British Journal of Radiology

ABSTRACT

OBJECTIVE: To compare the diagnostic accuracy between radiologists' from a country with and without breast cancer screening. METHODS: All participating radiologists gave informed consent. A test-set involving 60 mammographic cases (20 cancer and 40 non-cancer) were read by 11 radiologists from a non-screening (NS) country during a workshop in July 2016. 52 radiologists from a screening country read the same test-set at the Royal Australian and New Zealand College of Radiologists' meetings in July 2015. The screening radiologists were classified into two groups: those with less than or equal to 5 years of experience; those with more than 5 years of experience, and each group was compared to the group of NS radiologists. A Kruskal-Wallis test followed by post-hoc multiple comparisons test were used to compare measures of diagnostic accuracy among the reader groups. RESULTS: The diagnostic accuracy of the NS radiologists was significantly lower in terms of sensitivity [mean = 54.0; 95% confidence interval (CI) (40.0-67.0)], location sensitivity [mean = 26.0; 95% CI (16.0-37.0)], receive roperating characteristic area under curve [mean = 73.0; 95% CI (66.5-81.0)] and Jackknifefree-response receiver operating characteristics figure-of-merit [mean = 45.0; 95% CI (40.0-50.0)] when compared with the less and more experienced screening radiologists, whilst no difference in specificity [mean = 75.0; 95% CI (70.0- 81.0)] was found. No significant differences in all measured diagnostic accuracy were found between the two groups of screening radiologists. CONCLUSION: The mammographic performance of a group of radiologists from a country without screening program was suboptimal compared with radiologists from Australia. ADVANCES IN KNOWLEDGE: Identifying mammographic performance in developing countries is required to optimize breast cancer diagnosis.

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